OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays
Mohan Abdullah, Abrha Ftsum Berhe, Kedir Beshir, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26938-e26938
Open Access | Times Cited: 17

Showing 17 citing articles:

A vision transformer machine learning model for COVID-19 diagnosis using chest X-ray images
Tianyi Chen, Ian Philippi, Quoc Bao Phan, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100332-100332
Open Access | Times Cited: 7

EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19
Soner Kızıloluk, Eser Sert, Mohamed Hammad, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 635-650
Closed Access | Times Cited: 4

Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization
Honghua Liu, Mingwei Zhao, Chang She, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317450-e0317450
Open Access

SARS detection in chest CT scan images using the bootstrapped ViT-B/16 model
Justice Kwame Appati, Bless Ziamah, Herbert Ansah Akrofi, et al.
Iran Journal of Computer Science (2025)
Closed Access

A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
Amirreza Salehi, Ardavan Babaei, Vladimir Šimić, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2321-e2321
Open Access | Times Cited: 1

Enhancing Pulmonary Diagnosis in Chest X-rays through Generative AI Techniques
Theodora Sanida, Maria Vasiliki Sanida, Argyrios Sideris, et al.
J — Multidisciplinary Scientific Journal (2024) Vol. 7, Iss. 3, pp. 302-318
Open Access

CheXDouble: Dual-Supervised interpretable disease diagnosis model
Zhiwei Tang, You Yang
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107026-107026
Closed Access

Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images
Mansour Almutaani, Turki Turki, Y‐h. Taguchi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Multi Disease Classifier and Localizer for Chest X-Ray
Indrajeet Kumar, Manvi Bohra
(2024), pp. 355-359
Closed Access

LGM: Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images
Mansour Almutaani, Turki Turki, Y‐h. Taguchi
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

COVID-19 IgG antibodies detection based on CNN-BiLSTM algorithm combined with fiber-optic dataset
Mohammed Jawad Ahmed Alathari, Yousif Al Mashhadany, Ahmad Ashrif A. Bakar, et al.
Journal of Virological Methods (2024) Vol. 330, pp. 115011-115011
Closed Access

Systematic Literature Review: Deep Learning Pada Citra Sinar-X Paru Untuk Klasifikasi Penyakit
Calvin Rinaldy Leonard, Ingrid Nurtanio, Anugrayani Bustamin
Techno Com (2024) Vol. 23, Iss. 3, pp. 512-531
Open Access

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